ddsim:

In musto101/wilcox_R: What the package does (short line)

Usage

ddsim(n = 100, p = 3, eps = 0.4, type = 1)

Arguments

n
p
eps
type

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (n = 100, p = 3, eps = 0.4, type = 1) 
{
    med <- 1:20
    for (i in 1:20) {
        x <- matrix(rnorm(n * p), ncol = p, nrow = n)
        center <- apply(x, 2, mean)
        cov <- var(x)
        md2 <- mahalanobis(x, center, cov)
        if (type == 1) {
            out <- covmba(x)
        }
        if (type == 2) {
            out <- rmba(x)
        }
        if (type == 3) {
            out <- cov.mcd(x)
        }
        center <- out$center
        cov <- out$cov
        rd2 <- mahalanobis(x, center, cov)
        md <- sqrt(md2)
        rd <- sqrt(rd2)
        const <- sqrt(qchisq(0.5, p))/median(rd)
        rd <- const * rd
        plot(md, rd)
        abline(0, 1)
        med[i] <- median(md)
    }
    list(med = med)
  }

musto101/wilcox_R documentation built on May 23, 2019, 10:52 a.m.